Buchholz B, Armstrong T J, Goldstein S A
Department of Work Environment, University of Lowell, MA 01854.
Ergonomics. 1992 Mar;35(3):261-73. doi: 10.1080/00140139208967812.
The major goal of this investigation was to collect statistically-based anthropometry describing the kinematics of the human hand and to model this anthropometry as a function of external hand measurements, so that it may be predicted noninvasively. Joint centres were anatomically estimated as the centre of curvature of the head of the bone proximal to the given joint. Joint centres determined using Reuleaux's method for PIP and DIP were within 1.4 mm of this anatomical estimate. Models using bone length as the independent variable explain more than 97% of the variability in the anatomically estimated joint centre position along the mid-line of the bone. Models for estimating the lengths of the kinematic segments using external hand length as the independent variable account for between 49 and 99% of the variability in segment length. Models for estimating the axial location of the finger MCP and thumb CMC joints with respect to the distal wrist crease using external hand length as the independent variable account for between 82 and 96% of the variability in these locations. Models for estimating the radio-ulnar location of the finger MCP and thumb CMC joints with respect to the long axis of the third metacarpal using external hand breadth as the independent variable account for between 30 and 74% of the variability in these locations.
本研究的主要目标是收集基于统计学的人体测量数据，描述人类手部的运动学，并将此人体测量数据建模为手部外部测量的函数，以便能够进行非侵入性预测。关节中心在解剖学上被估计为给定关节近端骨头头部的曲率中心。使用勒洛方法确定的近端指间关节（PIP）和远端指间关节（DIP）的关节中心与该解剖学估计值的偏差在1.4毫米以内。以骨长度作为自变量的模型能够解释沿骨中线的解剖学估计关节中心位置变化的97%以上。以手部外部长度作为自变量来估计运动学节段长度的模型能够解释节段长度变化的49%至99%。以手部外部长度作为自变量来估计手指掌指关节（MCP）和拇指腕掌关节（CMC）相对于远端腕横纹的轴向位置的模型能够解释这些位置变化的82%至96%。以手部外部宽度作为自变量来估计手指掌指关节和拇指腕掌关节相对于第三掌骨长轴的桡尺位置的模型能够解释这些位置变化的30%至74%。
